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Søg i biblioteket

7,910 dokumenter

Strategy library

This document outlines an intraday USDJPY strategy using RSI, Parabolic SAR, and simple moving averages. The stated long setup requires price above a long-term SMA, a shorter SMA above a longer one, and RSI crossing upward through its oversold threshold. The…

ValutahandelTekniske indikatorerTrendfølgningBacktesting
Strategy library

The script describes a scalping strategy that combines a range filter, smoothed Heikin-Ashi candles, and higher-timeframe Heikin-Ashi direction to seek agreement before trading. An SMI filter is intended to avoid entering after an already extended move. The…

TrendfølgningTekniske indikatorerRisikostyringPositionsstørrelse
Strategy library

This document explains a trend strategy built around an ATR-based trailing stop. ATR estimates recent price movement, and a user-selected multiplier sets the stop distance. The stop is intended to move with favorable price action while remaining fixed when…

TrendfølgningTekniske indikatorerVolatilitetRisikostyring
Strategy library

This document describes a trend-following system that combines Donchian Channel breakouts with a long-term SMA trend filter and an RSI entry filter. It enters long positions when price breaks above the entry channel while above the SMA, and short positions…

TrendfølgningKursgennembrudTekniske indikatorerRisikostyring
Strategy library

This example combines RSI threshold crossings with position sizing tied to account equity. It opens a long position when RSI rises through the oversold level and a short when RSI falls through the overbought level. Contract quantity is calculated from…

FuturesKryptoMomentumPositionsstørrelse
Strategy library

This crossover system compares a fast moving average with a slower one. A fast-line cross above the slow line opens a long position, and a cross below opens a short position. The description identifies both lines as EMAs, but the published code calculates…

FuturesKryptoTrendfølgningTekniske indikatorer
Strategy library

This Pine Script template separates strategy signals from the mechanics of backtesting. Users supply long and short entry and exit conditions; the example uses a 50-period and 200-period simple moving average crossover. Inputs can enable either direction,…

BacktestingTekniske indikatorerPositionsstørrelseRisikostyring
Strategy library

The strategy treats the MACD histogram as a momentum wave, calculated from the difference between fast and slow EMAs and a smoothed signal line. It enters long when the histogram crosses above a configurable entry level and short when it crosses below.…

KryptoMomentumTekniske indikatorerBacktesting
Strategy library

This Pine Script strategy turns a WaveTrend oscillator into long entry and exit signals. It computes a normalized deviation of a chosen price source from an exponential average, smooths that measure, and detects crossovers between the resulting wave and its…

Tekniske indikatorerMomentumBacktesting
Strategy library

This script compares two moving-average momentum strategies. Its MACD variant uses exponential averages of closing prices, while its Awesome Oscillator uses simple averages of the high-low midpoint. Both use short and long averages, with the Awesome…

Tekniske indikatorerMomentumBacktestingRisikostyring
Strategy library

This strategy uses VWAP as a price reference and constructs upper and lower bands at 1.618 and 2.618 standard deviations. A long signal occurs when price moves back upward through the inner lower band, while a short signal occurs when price moves downward…

FuturesKryptoTrendfølgningVolatilitet
Strategy library

This strategy uses Stochastic %K and %D crossovers to initiate long and short positions. It identifies recent pivot lows and highs to set direction-specific stop prices, then combines those stops with profit-taking exits. The example includes a partial exit…

FuturesKryptoTekniske indikatorerRisikostyring
Strategy library

APEX V2 is presented as a configurable trading strategy that combines several analytical modules and can enable long trades, short trades, or both. Its settings include a multi-indicator confluence requirement, with a minimum agreement count, alongside…

Tekniske indikatorerMomentumTilbagevenden til gennemsnittetVolatilitet
Strategy library

This trend-following system combines AlphaTrend, which uses ATR-based channels and MFI or RSI to indicate direction, with Kaufman’s Adaptive Moving Average (KAMA). It enters long when KAMA crosses above AlphaTrend and short when it crosses below. A…

FuturesKryptoTrendfølgningTekniske indikatorer
Strategy library

This strategy switches between trend-following and counter-trend entries according to an RSI-based regime rule. It uses 3- and 8-period EMAs for crossover signals, a 55-period EMA and 5-versus-20-period simple averages to check direction, and RSI distance…

FuturesKryptoTrendfølgningTilbagevenden til gennemsnittet
Strategy library

This Python strategy constructs a spread from two instrument prices weighted by configurable leg ratios. It updates the spread periodically and, after collecting enough observations, calculates a rolling mean and standard deviation over a 20-observation…

ParhandelTilbagevenden til gennemsnittetStatistikOrdreudførelse
Strategy library

This strategy combines 9- and 21-period exponential moving average crossovers with volatility-scaled exits. It opens a long position when the faster average crosses above the slower one and a short position on the opposite cross. A 14-period ATR sets the…

FuturesKryptoTrendfølgningTekniske indikatorer
Strategy library

This TradingView strategy generates directional signals for Sensex options using the index chart. It signals a call-side trade when price is above the 200-period EMA, RSI is above 60, ADX is above 20, volume exceeds its 20-period average, and the market is…

OptionerAktierTekniske indikatorerRisikostyring
Strategy library

This trend strategy combines a Bollinger Band and Keltner Channel squeeze measure, a volume-weighted RSI, and Parabolic SAR. It looks for squeeze conditions alongside a bullish or bearish RSI reading and SAR position, then seeks an entry when the combined…

FuturesTekniske indikatorerTrendfølgningVolatilitet
Strategy library

This strategy combines Stochastic RSI direction with an EMA-smoothed rate-of-change filter. A K value above D is treated as bullish and below D as bearish; a sufficiently positive or negative rate of change is used to require active price movement before…

FuturesTekniske indikatorerTrendfølgningRisikostyring
Strategy library

This strategy uses Bollinger Bands to define possible reversal entries and the middle band as an exit level. A close moving upward through the lower band triggers a long entry, which is closed when price rises above the middle band. A downward move through…

ValutahandelTekniske indikatorerTilbagevenden til gennemsnittetBacktesting
Strategy library

This Pine strategy uses two configurable moving averages calculated on a selected higher timeframe. Its defaults are 20- and 50-period exponential averages on hourly data, though users can choose other supported average types, sources, lengths, and…

Tekniske indikatorerTrendfølgningRisikostyringBacktesting
Strategy library

This strategy combines a DEMA-based price difference measure, RSI, and Bollinger Bands to produce long and short signals. Its DPD component compares price with a double exponential moving average; RSI marks overbought and oversold conditions, while the bands…

AktierTekniske indikatorerTilbagevenden til gennemsnittetBacktesting
Strategy library

This medium- to long-term trend-following approach uses a paired SR indicator and signal line. The SR line is formed from weighted and simple moving averages, and a crossover with its signal line supplies directional cues. The strategy also constructs…

FuturesKryptoTrendfølgningTekniske indikatorer